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PMID: 40634002 Published · ppublish English Journal Article Review

Predicting Cerebral Aneurysm Rupture: The Role of Computational Fluid Dynamics.

Neuroimaging clinics of North America ·Vol. 35 ·No. 3 ·2025-08-00 ·页码 333-347

Goudarzian F, Kondratiuk K, Rayz VL

Abstract

Intracranial aneurysms (IAs) are outpouchings of cerebral arteries that may rupture, associated with high morbidity and mortality. While most unruptured IAs remain stable, they are often treated due to the severe consequences of rupture. Current IA rupture risk scores rely on clinical and morphological factors but do not account for blood flow, which may limit their predictive accuracy. Image-based Computational Fluid Dynamics (CFD) can capture local hemodynamics, but studies linking flow factors to IA rupture have yielded conflicting results. This review presents CFD methods for subject-specific IA flow analysis and discusses challenges in translating computational modeling into clinical practice.

Keywords
Hemodynamics Image-based modeling Patient-specific flow simulations
MeSH 主题词
Humans Intracranial Aneurysm/diagnostic imaging,physiopathology Aneurysm, Ruptured/diagnostic imaging,physiopathology Hydrodynamics Hemodynamics Computer Simulation Cerebrovascular Circulation/physiology
作者与单位
共 3 位作者,点击展开单位 / ORCID
Goudarzian Farshid
Weldon School of Biomedical Engineering, Purdue University, 206 S. Martin Jischke Drive, West Lafayette, IN 47907, USA.
Kondratiuk Kostiantyn
Weldon School of Biomedical Engineering, Purdue University, 206 S. Martin Jischke Drive, West Lafayette, IN 47907, USA.
Rayz Vitaliy L
Weldon School of Biomedical Engineering, Purdue University, 206 S. Martin Jischke Drive, West Lafayette, IN 47907, USA; School of Mechanical Engineering, Purdue University, West Lafayette, USA. Electronic address: [email protected].
Article Info
Journal
Neuroimaging clinics of North America
Abbr.
Neuroimaging Clin N Am
ISSN
1557-9867
Corresponding email
Published
2025-08-00
电子出版
2025-00-17
页码
333-347
Language
English
Country/Region
United States
NLM ID
9211377
基金资助
NHLBI NIH HHS · R01 HL115267 · United States
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